Live Demo of WiFi activity at my apartment: http://meyersj.github.io/wifi
This project contains code used to monitor Wifi activity with a Raspberry Pi. It also contains code to create some endpoints for a web server to receive WiFi packet headers from the Pi, and for querying the data for visualizations. The web server endpoints are written in Go. The request payload is encoded/decoded using protocol buffers by the client and server. The server will insert the received packet headers into a PostgreSQL database.
You should be able to run the sensor code on any computer with a compatible network card that can be switched into monitor mode.
- Supported OS: Ubuntu Linux and Raspbian
- Example Configuration: Raspberry Pi running
sensorapplication with DigitalOcean droplet with PostgreSQL instance and runninggo-serverapplication that handles request sent from Raspberry Pi.
Contains protocol buffer definitions used for serialization of data sent between the Pi and web server.
- build.sh Execute this to rebuild wifi_pb2.py and wifi.pb.go if you make changes to wifi.proto
Contains the sql scripts to build a PostgreSQL database and go-server application to handle API requests
from Raspberry Pi and from web-clients.
There is a README
for getting it setup and running.
This folder contains all the client code that is running on the sensor. There is a README in this folder that covers setting up and running the sensor code.
Simple python and psql script to bin data into 5 min, hour, day and week buckets. This aggregated
data is used for answering queries
Once go-server and sensor applications are both running and communicating succesfully with the database
you can follow directions in analyzer/CRON_EXAMPLE for example entries that should be added to a crontab to
run the aggregater scripts. You will need to correct the path to the scripts.
Contains D3 Live Demo visualization, hosted at http://meyersj.github.io/wifi